DATA ANALYTICS CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYTICS COURSE FEE IN GURGAON

Live Virtual

Instructor Led Live Online

110,000
62,423

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

55,000
35,773

  • Self Learning + Live Mentoring
  • IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

110,000
67,548

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance

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UPCOMING DATA ANALYTICS ONLINE CLASSES IN GURGAON

BEST DATA ANALYTICS CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA ANALYTICS COURSE

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SYLLABUS OF DATA ANALYTICS CERTIFICATION IN GURGAON

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
Modeling, Evaluation, Deploying,Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES

• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

  • Introduction to Statistics
  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2 : HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's Minimum Sample Size
  • Types of Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Multi stage Sampling
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution & Properties
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance
  • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Critical Region
  • Types of Hypothesis Testing
  • Hypothesis Testing Errors : Type I And Type Ii
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test
  • Application of Hypothesis testing

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction,
• Performing Comparison Analysis on Data
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Hands-on case study : Comparison Analysis
• Hands-on case study Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Variance Analysis Introduction
• Data Preparation for Variance Analysis
• Performing Variance and Frequency Analysis
• Business use cases for Variance Analysis
• Business use cases for Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Manufacturing

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis,
• Performing Pareto Analysis on Data
• Insights on Optimizing Operations with Pareto Analysis
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Benefits of Business Analytics
• Challenges
• Data Sources
• Data Reliability and Validity

MODULE 2: OPTIMIZATION MODELS

• Predictive Analytics with Low Uncertainty;Case Study
• Mathematical Modeling and Decision Modeling
• Product Pricing with Prescriptive Modeling
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics behind Linear Regression
• Case Study : Sales Promotion Decision with Regression Analysis
• Hands on Regression Modeling in Excel

MODULE 4: DECISION MODELING

• Predictive Analytics with High Uncertainty
• Case Study-Monte Carlo Simulation
• Comparing Decisions in Uncertain Settings
• Trees for Decision Modeling
• Case Study : Supplier Decision Modeling - Kickathlon Sports Retailer

MODULE 1: MACHINE LEARNING INTRODUCTION

• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION

• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression;
• Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN; Nearest Neighbor
• Regression with KNN
• Hands-on: KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• Introduction to KMeans and How it works
• Hands-on: K Means Clustering

MODULE 6: ML ALGO: DECISION TREE

• Decision Tree and How it works
• Hands-on: Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Hands-on: SVM with ML Tool

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN, How It Works
• Back propagation, Gradient Descent
• Hands-on: ANN with ML Tool

MODULE 1: DATABASE INTRODUCTION

• DATABASE Overview
• Key concepts of database management
• CRUD Operations
• Relational Database Management System
• RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS

• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS

• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table

MODULE 5: SQL JOINS

• Inner join, Outer Join
• Left join, Right Join
• Self Join, Cross join
• Windows Functions: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES

• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries

MODULE 7: DOCUMENT DB/NO-SQL DB

• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
• MongoDB data management

MODULE 1: BIG DATA INTRODUCTION

• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE

• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS

• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies

MODULE 2: POWER-BI BASICS

• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION

MODULE 3: DATA TRANSFORMATION TECHNIQUES

• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model

OFFERED DATA ANALYTICS COURSES IN GURGAON

DATA ANALYTICS TRAINING REVIEWS

ABOUT DATA ANALYTICS TRAINING IN GURGAON

If you want to work as a data analyst, you may have thought about whether you should get a certification in data analytics or just add some data analytics skills to your resume. The leading provider of data analytics training in Gurgaon is DataMitesTM. Your proficiency and training in using cutting-edge analytics technology will be provided through our data analyst certification programme. Our course materials are designed to help you start your learning process from scratch while maintaining your knowledge up to date and providing you with a practical learning experience for the near future!

The possibilities are endless for a data analyst with the appropriate training in data analytics and your own level of expertise. The programme will help you develop an analytical mindset, assist you to grasp the essential competencies that drive the business, and help decision-makers improvise, optimise, and get through any obstacles in order to succeed in today's digitally-driven, fiercely competitive market.

The holy grail of today's world is data, and the correct data analytics training in Gurgaon will elevate you to the position of a high priest in the data analytics community. Since a data analyst's job is unique compared to other corporate jobs. As a result, the status of a data analyst is equivalent to that of a star.

Nearly all brands have a social media presence now, and soon every business will require data analytics specialists. In light of this, it is a wise career choice with the potential for success. DataMites provides learning alternatives such as data analytics classroom training and online data analytics training in Gurgaon, both of which will be handled by the best and most knowledgeable instructors in the data industry. The curriculum for DataMites' six-monthly data analytics training programme has been approved by the IABAC, a framework for the European Union.

We use a three-phase, comprehensive learning process.

Phase 1 is the first phase, which includes giving students the required readings, access to videos, and materials for independent study.

Phase 2 = Consists of data analytics courses online in Gurgaon, a practical capstone project, and the IABAC Data Analytics Credential, a universal certification.

Projects, internships, and a programme to get you job-ready are all included in Phase 3.

Our Certified Data Analyst Course in Gurgaon can assist you in becoming a certified data analytics specialist in this era of data-driven decision-making. If you want to work as a data scientist, data engineer, or data analyst, you should think about getting this best course in data analytics. With the aid of Certified Data Analyst Training in Gurgaon, you can progress your career and apply for the highest-paying employment.

Gurgaon is a city in northern India that is located around 70 kilometres southwest of New Delhi. It has a reputation for being a financial and technical hotspot. Top businesses are using data analytics to find new markets where their services and goods might flourish as a result of the intensifying market competition. Right now, data analytics are regarded as being essential to the success of leading firms by 77% of them! A data analyst in Gurgaon earns an average salary of 6,00,000 LPA (glassdoor) and a data analyst's salary in Gurgaon is 5,25,270 LPA! (Payscale)

Along with the data analytics courses, DataMites also provides artificial intelligence, data engineer, data science, deep learning, tableau, python training, r programming, and machine learning courses in Gurgaon.

So what are you waiting for? Join Data Analytics Training in Gurgaon. Grab your chance!

ABOUT DATA ANALYTICS COURSE IN GURGAON

Data analytics is the study of examining unprocessed data to draw inferences about that data. Numerous methods and procedures used in data analytics have been mechanised into mechanical procedures and algorithms that operate on raw data for human consumption.

Though each has its own significance, there are some fundamental contrasts between business analytics and data analytics. The activity of examining databases to determine the data they contain is known as "data analytics." Using data analysis tools, you can take raw data and look for patterns to gain insightful knowledge. Business analytics is a practical use of statistical analysis that emphasises giving useful guidance.

Anyone who is willing to learn data analytics, whether they are a novice or a seasoned professional, is the simple answer. Engineers, IT workers, software developers, and marketers can all register for the DataMites data analytics courses in Gurgaon.

A data analytics profession that is pretty robust. Simply put, there has never been a better time to be a data professional. A whopping 2.5 quintillion bytes of data are created every day. The price will vary depending on the degree of instruction you want. Training in data analytics could cost anything from 30,000 to 100,000 Indian rupees.

Data analysis tools became widely used as insights helped businesses acquire a competitive edge. Several of the key tools used for data analytics are Excel, Advanced Excel, Tableau, SQL, Power BI, Basics of R, and Python.

One of the most in-demand professions for 2022 is data analysis. India is the second major source of employment for data scientists after the United States. One of the factors contributing to the considerably high compensation for data analysts is demand.

While obtaining the necessary accreditation from a reputable institution is mandatory, a degree is not usually necessary for a position as a data analyst. The time it takes to acquire the skills required for success in data analytics might range from six weeks to two years. An effective strategy to learn data analytics and become skilled at it is to take a 6-month training course. Data analytics careers can be pursued in a variety of ways, which accounts for the wide spectrum. 

Data analytics offers employment prospects and skills outside of the computer and digital industries.

  • Business Intelligence Analyst

  • Data Analyst

  • Quantitative Analyst

  • Data Analyst Consultant

  • Operations Analyst

  • Marketing Analyst

  • Data Scientist

  • Data EngineerProject Manager

  • IT Systems Analyst

The advantages of a position in data analytics won't materialise without extensive training and effort. To be successful in their line of work, data analysts need a specific set of skills, and while having a technical background is vital, they also need a few soft skills.

  • Clearing Data Displaying Information

  • Along with linear algebra, NoSQL Machine Learning Calculus, MATLAB, R, Python, and Python.

  • Excel for Windows, Critical Thinking and Communication

  • The national average salary for a Data Analyst is USD 69,517 per year in the United States. (Glassdoor)

  • The national average salary for a Data Analyst is INR 6,00,000 per year in India. (Glassdoor)

  • The national average salary for a Data Analyst is £36,535 per annum in the UK.  (Glassdoor)

  • The national average salary for a Data Analyst is C$58,843 per year in Canada. (Payscale)

  • The national average salary for a Data Analyst is AED 106,940 per year in UAE. (Payscale)

  • The national average salary for a Data Analyst is AUD 85,000 per year in Australia. (Glassdoor)

  • The national average salary for a Data Analyst is 46,328 EUR per annum in Germany. (Payscale)

  • The national average salary for a Data Analyst is CHF 95,626 per year in Switzerland. (Glassdoor)

  • The national average salary for a Data Analyst is SAR 95,960 per year in Saudi Arabia. (Payscale.com)

  • The national average salary for a Data Analyst is ZAR 286,090 per year in South Africa. (Payscale.com)

The rise in pay that comes with a profession in data analytics is one of its rewarding aspects. In line with the rise in demand for data analytic skills, big data occupations are paying out more money. A data analyst in Gurgaon earns an average salary of 6,00,000 LPA (Glassdoor) and a data analyst's salary in Gurgaon is 5,25,270 LPA! (Payscale)

The majority of the time, a degree is not required for employment as a data analyst, but it is crucial to get the right certification from an accredited institute. It can take anywhere between six weeks and two years to master the skills necessary for success in data analytics. Taking a 4-month training course is an efficient way to learn about and gain expertise in data analytics. The variety is accounted for by the fact that there are a wide range of distinctive paths one can take to become a data analytics professional.

The most valuable certification in data analytics is the Certified Data Analyst Course, which attests to your competence in confidently evaluating data utilising a variety of technologies. Your competence in handling data, doing exploratory research, understanding the fundamentals of analytics, and visualising, presenting, and expanding on your findings are all demonstrated by your certification. IABAC and the esteemed Jain University both acknowledge the DataMites Certified Data Analyst Training in Gurgaon.

Through the Certified Data Analyst Course, we provide you with tangible proof that you are qualified to help companies, including well-known multinationals, interpret the data at hand through our data analytics training. It is evidence that, in contrast to a data analytics certificate, you are qualified to carry out the responsibilities of a particular job role in accordance with professional standards.

he DataMites Data Analytics Certification Training in Gurgaon is painstakingly planned and organised in this way to ensure that newcomers to the field are given a thorough explanation of the entire subject. If learning analytics interests you, you can sign up right away.

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FAQ’S OF DATA ANALYTICS TRAINING IN GURGAON

The course is open to both experienced and novices. A career as a data analyst is the most suitable choice for you if you wish to go from an IT to a business profile. If you are proficient in coding and IT, you will be well-suited to flourish in this industry. A person who works in the human resources, banking, marketing, or sales industries, as well as anyone else is welcome to enrol in DataMites Training.

  • The International Association of Business Analytics Certifications has granted DataMitesTM its accreditation as a global institute for data science (IABAC).

  • roughly 50,000 candidates were trained

  • The three-phase learning process was painstakingly created to deliver the greatest instruction possible.

  • Participate in practical projects and really useful case studies.

  • Obtain the worldwide IABAC and JainX Data Analytics Certification.

  • Help with internships and employment

At DataMites the Data Analytics Training Fee in Gurgaon will be around 42,000 INR.

You may develop your career and apply for the highest paid jobs by taking courses in data analytics that have been specifically created for the industry. At DataMites, you would receive 6 months of data analytics training.

When you successfully complete the programme, you will receive certifications from the prominent organisations IABAC and JainX, which have recognised the Certified Data Analyst curriculum as one of DataMites' best data analytics programmes. It is advised to obtain the DataMites Certified Data Analyst certification before beginning a career in data analytics.

On demand, we do provide classroom instruction at your site. Despite the fact that our training allows you to study from anywhere in the world without having to travel or adhere to a strict timetable. There are benefits to studying at your own pace with a curriculum that is equally as useful as for in-class instruction.

At DataMites, there are several flexible learning options available, including live online classes and self-study programmes in data analytics. Each training session is created with the intention of assisting participants in becoming authorities in the subject matter they have picked.

Please bring your photo ID evidence, such as a national ID card and driving licence, when registering for the certification exams and receiving your participation certificate.

Making ensuring that data analytics is taught in the finest and most effective way possible by the greatest instructors in the business is learning through a case study approach.

You must undoubtedly maximise the benefits of your data analytics training. If you require any additional clarifications, you can ask for help sessions without a doubt.

DataMites offers a three-stage learning process. Candidates will be given self-study materials and videos throughout Phase 1 to assist them in learning all there is to know about the programme. You will obtain IABAC Data Analytics Credential, a global certification, after completing Phase 2, the first step of intensive live online training. We will also announce projects and placements during the third phase.

You are not concerned about that. Just talk to your trainers about it to arrange a class that works with your schedule. Each session of the online data analytics training in Gurgaon will be videotaped and published, enabling you to easily catch up on the information you missed at your own pace and ease. Understanding data analytics has never been that easy, for sure!

Candidates may attend sessions from Datamites for a period of three months pertaining to any query or revision you wish to clear with our Flexi-Pass for Data Analytics Certification Training.

Payments are accepted through;

  • Cash

  • Credit Card

  • PayPal

  • Visa

  • Master Card

  • American Express

  • Net Banking

  • Cheque

  • Debit Card

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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